Spaces:
Running
on
Zero
Running
on
Zero
v5p3
Browse files
app.py
CHANGED
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@@ -198,27 +198,41 @@ def generate(
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# Initialize an empty list to store the generation history
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generation_history = []
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# Function to update the history
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def
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# Modify the generate function to add results to the history
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def generate_and_update_history(*args, **kwargs):
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images, metadata = generate(*args, **kwargs)
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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generation_history.insert(0, {
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if len(generation_history) > 10: # Limit history to 10 items
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generation_history.pop()
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return images, metadata,
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# Function to display selected history item
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def display_history_item(selected_item):
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if not selected_item:
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return None, None
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for item in generation_history:
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if f"{item['prompt']} ({item['timestamp']})" == selected_item:
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return item['image'], json.dumps(item['metadata'], indent=2)
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return None, None
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if torch.cuda.is_available():
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pipe = load_pipeline(MODEL)
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@@ -307,7 +321,6 @@ with gr.Blocks(css="style.css") as demo:
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value=1.5,
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visible=False,
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)
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sampler = gr.Dropdown(
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label="Sampler",
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choices=config.sampler_list,
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@@ -340,10 +353,12 @@ with gr.Blocks(css="style.css") as demo:
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json_input = gr.TextArea(label="Edit/Paste JSON Parameters", placeholder="Paste or edit JSON parameters here")
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generate_from_json = gr.Button("Generate from JSON")
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# Add history
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gr.Examples(
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examples=config.examples,
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@@ -381,7 +396,7 @@ with gr.Blocks(css="style.css") as demo:
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use_upscaler,
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upscaler_strength,
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upscale_by,
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json_input,
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]
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prompt.submit(
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@@ -391,11 +406,14 @@ with gr.Blocks(css="style.css") as demo:
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queue=False,
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api_name=False,
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).then(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata,
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)
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negative_prompt.submit(
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fn=utils.randomize_seed_fn,
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inputs=[seed, randomize_seed],
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@@ -403,11 +421,14 @@ with gr.Blocks(css="style.css") as demo:
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queue=False,
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api_name=False,
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).then(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata,
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)
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run_button.click(
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fn=utils.randomize_seed_fn,
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inputs=[seed, randomize_seed],
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@@ -415,25 +436,33 @@ with gr.Blocks(css="style.css") as demo:
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queue=False,
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api_name=False,
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).then(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata,
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-
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)
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# Add event handler for generate_from_json button
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generate_from_json.click(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata,
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)
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# Add
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demo.queue(max_size=20).launch(debug=IS_COLAB, share=IS_COLAB)
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# Initialize an empty list to store the generation history
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generation_history = []
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# Function to update the history list
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def update_history_list():
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html = "<div style='display: flex; flex-wrap: wrap;'>"
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for idx, item in enumerate(generation_history):
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html += f"""
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<div style='margin: 10px; text-align: center;'>
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<img src='data:image/png;base64,{utils.image_to_base64(item["image"])}'
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style='width: 100px; height: 100px; object-fit: cover;'
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onclick='handle_image_click({idx})' />
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<p style='width: 100px; white-space: nowrap; overflow: hidden; text-overflow: ellipsis;'>
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{item["prompt"]}
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</p>
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</div>
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"""
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html += "</div>"
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return html
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# Function to handle image click in history
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def handle_image_click(idx):
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selected = generation_history[idx]
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return selected["image"], json.dumps(selected["metadata"], indent=2)
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# Modify the generate function to add results to the history
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def generate_and_update_history(*args, **kwargs):
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images, metadata = generate(*args, **kwargs)
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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generation_history.insert(0, {
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"prompt": metadata["prompt"],
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"timestamp": timestamp,
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"image": images[0],
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"metadata": metadata
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})
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if len(generation_history) > 10: # Limit history to 10 items
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generation_history.pop()
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return images, metadata, gr.update(visible=True) # Update to show the accordion
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if torch.cuda.is_available():
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pipe = load_pipeline(MODEL)
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value=1.5,
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visible=False,
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)
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sampler = gr.Dropdown(
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label="Sampler",
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choices=config.sampler_list,
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json_input = gr.TextArea(label="Edit/Paste JSON Parameters", placeholder="Paste or edit JSON parameters here")
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generate_from_json = gr.Button("Generate from JSON")
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# Add history accordion
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with gr.Accordion("Generation History", visible=False) as history_accordion:
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history_list = gr.HTML()
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with gr.Row():
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selected_image = gr.Image(label="Selected Image", interactive=False)
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selected_metadata = gr.JSON(label="Selected Metadata", show_label=False)
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gr.Examples(
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examples=config.examples,
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use_upscaler,
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upscaler_strength,
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upscale_by,
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json_input,
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]
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prompt.submit(
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queue=False,
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api_name=False,
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).then(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata, history_accordion],
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).then(
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fn=update_history_list,
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outputs=history_list
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)
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negative_prompt.submit(
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fn=utils.randomize_seed_fn,
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inputs=[seed, randomize_seed],
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queue=False,
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api_name=False,
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).then(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata, history_accordion],
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).then(
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fn=update_history_list,
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outputs=history_list
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)
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run_button.click(
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fn=utils.randomize_seed_fn,
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inputs=[seed, randomize_seed],
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queue=False,
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api_name=False,
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).then(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata, history_accordion],
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).then(
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fn=update_history_list,
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outputs=history_list
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)
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# Add event handler for generate_from_json button
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generate_from_json.click(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata, history_accordion],
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).then(
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fn=update_history_list,
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outputs=history_list
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)
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# Add JavaScript for handling image clicks
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demo.load(None, None, None, _js="""
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function handle_image_click(idx) {
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const images = document.querySelectorAll('#history_list img');
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images.forEach(img => img.style.border = 'none');
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images[idx].style.border = '2px solid blue';
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gradioApp().querySelector('#selected_image img').src = images[idx].src;
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gradioApp().querySelector('#selected_metadata textarea').value = JSON.stringify(generation_history[idx].metadata, null, 2);
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}
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""")
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demo.queue(max_size=20).launch(debug=IS_COLAB, share=IS_COLAB)
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